In your pi.ini file, you might have:

In your pi.ini file, you might have:

[API]  
endpoint = https://api.pi.ai  
api_key = your_api_key_here  

These configuration files can be easily parsed and accessed in your Python script using configparser. Here's a basic example:

import configparser  
  
 Load configuration file  
config = configparser.ConfigParser()  
config.read('claude.ini')  
  
 Access configuration values  
endpoint = config['API']['endpoint']  
api_key = config['API']['api_key']  
  
 Use the values in your script  
 ...  

By separating the configuration settings into individual files, you can easily switch between different models or update specific settings without modifying the script itself. Additionally, using command-line integration with argparse allows for even more flexibility and customization when running your script.

With this approach, you can create a flexible and scalable system that can connect with multiple AI models, each with its own configuration file, while also allowing for easy parameter overrides through command-line arguments.